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  • 标题:Knowledge Based Secure Data Streaming in Virtual Environment
  • 本地全文:下载
  • 作者:Anand. R ; Dr. S. Saraswathi
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:1
  • 页码:193-200
  • DOI:10.14257/ijsia.2014.8.1.18
  • 出版社:SERSC
  • 摘要:The process of transferring data within any physical environment is highly vulnerable and liable to face many security issues leading to sniffing of highly confidential data by any of the prevalent cyber attacks. Presently, there are various classic data retrieving methodologies such as CASE, PIVOT and SJP within a physical environment. However, these methods are not completely fail proof against unauthorized data retrieval. This paper aims to implement the concept of Knowledge Cube generation for securely transfer data with the help of Horizontal Aggregation method in virtual environment. The concept of 'Knowledge Cube' is referred as a multidimensional model composing of cubes and dimensions, which can be further interpreted so as to execute complex queries during any data retrieval process in both physical and virtual environment.
  • 关键词:Knowledge cube; Virtualization; Virtual services
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